Summary
This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is it.cornell.edu and was registered NaN years ago.
Submitted URL: https://cit.cornell.edu
Effective URL: https://it.cornell.edu/Redirected
The Cisco Umbrella rank of the primary domain is #525 of the top 1 million websitesTop 1K Site
AI Security Verdict
Low Risk
Confidence: 78%
Site appears legitimate; heavy JS obfuscation suggests caution but no concrete malicious signals.
Risk Factors
Safety Factors
Details
Page Title
Welcome | IT@Cornell
Scan Type
public
Language
English
Category
technology software
(67%)Domain Information
Within the sponsored educational top-level domain (.edu), 'cit.cornell.edu' is registered, featuring subdomain 'cit'. The core label 'cornell' covers 7 characters containing two vowels alongside five consonants. Splitting it apart reveals one word: cornell. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 24 | 104.20.46.25Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 23 | 23.185.0.2 | United States | AS54113Fastly, Inc. |
| 23 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 23 | 35.171.238.11Aws · CLOUD | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 93 | 4 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data